Clay is the most powerful B2B data tool we've tested, and also the one most likely to sit unused. It's not a database you search — it's a programmable spreadsheet that queries 100+ data providers in a waterfall, runs an AI research agent on every row, and can send outreach from the same table. When a technical owner drives it, the match rates and automation are in a class of their own. Without one, it's an expensive tool that eats credits while you figure it out.
Rating: 4.3/5
Verdict: Clay is the best enrichment engine on the market — nothing else orchestrates this many providers with this much logic — but it's a RevOps power tool, not a rep's prospecting app. Budget for the learning curve and the credits, or it won't pay off.
Best for: RevOps and growth engineers who want granular control over enrichment and can invest weeks to master it.
What is Clay?
Clay is a data enrichment and prospecting platform built for go-to-market teams. At its core is a table — think a spreadsheet with superpowers — where each column can call a data provider, run an AI prompt, or trigger an action. You start with a list of companies or people, then stack enrichments to fill in emails, phone numbers, firmographics, intent signals and anything else you can source.
The reason teams pay for it is the waterfall. Instead of trusting one database, Clay checks providers in sequence until it finds a match, so the coverage beats any single source. That, plus AI research and built-in outbound, is why it's become the darling of modern RevOps teams. For the wider landscape, see our best AI sales tools roundup.
Key features
Clay is a bundle of capabilities that most teams buy separately. Here's what actually mattered in testing.
Waterfall enrichment
This is the headline. Clay's waterfall checks multiple providers one after another — if the first can't find an email address, it queries the next in line, and so on. The result is materially higher match rates than a single-provider tool, and you only pay for the data credit when a provider returns a hit. For finding contacts a database like Apollo misses, nothing here comes close.
Claygent — the AI research agent
Claygent scrapes publicly available web data to answer specific questions and writes the answer back into your table. Ask it for a company's funding stage, tech stack, office locations or a founder's background, and it goes and finds it. It turns "manually research 500 accounts" into a column you run once.
AI formula generator & personalization
The AI Formula Generator lets you describe an outcome in plain English and builds the formula for you, which lowers the barrier to Clay's more technical steps. Built-in AI (including ChatGPT columns) generates personalized email copy and categorizes data at scale, so you can draft a tailored first line for every prospect from their enriched profile.
Conditional workflows & the Sequencer
Clay's workflow builder handles conditional logic — for example, only looking up phone numbers for VP+ titles at companies with 50–200 employees. Its Sequencer adds an outbound layer so you can send enriched, personalized outreach directly from Clay rather than exporting to another tool. That closes the loop from raw list to sent email in one place.
Data quality & match rates
Clay's whole value proposition is match rate, and it delivers. Because the waterfall taps 100+ sources rather than one, it consistently finds contacts that single-database tools return blank on. On hard segments — smaller companies, non-US regions, senior titles — the gap over a solo source is the difference between a usable list and a half-empty one.
Two honest caveats. First, quality still depends on the providers you enable and the order you stack them, which is part of the skill. Second, more data isn't free data — every successful lookup spends a Data Credit, so a wide waterfall on a big list adds up fast. The upside is you're paying for hits, not misses, which is a fairer model than paying per view.
Clay pricing in 2026
Clay overhauled its pricing on March 11, 2026. It now separates two credit types: Data Credits (for buying enrichment data from its provider marketplace) and Actions (for platform operations like running workflows). Data costs dropped 50–90% versus the old model, which makes wide waterfalls cheaper than they used to be.
| Plan | Price (annual) | What you get |
|---|---|---|
| Free | $0 | 100 Data Credits and 500 Actions/mo, 200-row table limit, access to 100+ providers. Enough to learn the ropes. |
| Launch | $167/mo ($185 monthly) | 2,500 Data Credits and 15,000 Actions/mo. The real starting point for a working team. |
| Growth | $446/mo ($495 monthly) | Unlimited Data Credits and Actions. For teams running enrichment at volume. |
| Enterprise | Custom | For GTM teams at scale — Clay says Enterprise customers typically target 20,000+ accounts. Adds security, support and volume terms. |
Existing customers on the legacy Starter ($149), Explorer ($349) and Pro ($800) plans keep them indefinitely. For a full breakdown of credits, actions and real cost per lead, see our Clay pricing explainer.
The learning curve is real
This is the part every honest review has to flag. Clay takes most people 4–6 weeks to master, and the learning costs real credits because you experiment on live data. It's explicitly not a tool for field salespeople — it needs a RevOps or growth-engineer profile to drive it. Without that, teams describe it as a "money pit": a powerful platform paid for and barely used.
The flip side: once someone owns it, Clay replaces a stack of point tools and pays for itself. The question isn't whether it's capable — it's whether you have the person to run it. If you don't, an all-in-one like Apollo gets you 80% of the way with a fraction of the setup.
Pros and cons
Clay is a power tool: exceptional in the right hands, wasteful in the wrong ones. Here's the ledger.
Pros
- Waterfall enrichment across 100+ providers — the best match rates available
- Claygent AI agent automates deep prospect research
- Conditional workflows and a built-in Sequencer for outbound
- March 2026 overhaul cut data costs 50–90%
- Replaces several point tools once fully adopted
Cons
- 4–6 week learning curve — needs a technical owner
- Credits burn while you experiment; costs can be hard to predict
- Not for individual reps or field sales
- Starting seriously means $185/mo, above most all-in-one tools
Who Clay is for
Buy Clay if you have a RevOps or growth-engineering function and match rate is your bottleneck. Nothing else orchestrates this many data sources with this much logic, and once it's dialed in it becomes the backbone of your outbound data. That's why it lands at 4.3/5 — the points it loses are all about the learning curve and cost predictability, not capability.
Skip it if you're a small team or solo rep who just needs contacts and a sequencer. You'll get there faster and cheaper with an all-in-one platform. Compare the two directly in Clay vs Apollo.io, and check current numbers in our Clay pricing breakdown. You can try it at clay.com.
Frequently Asked Questions
What is Clay used for?
Clay is a B2B data enrichment and prospecting platform. It pulls data from 100+ providers in a waterfall, uses AI to research and personalize, and can automate outbound. Teams use it to build highly targeted, enriched lead lists that a single database can't match.
How much does Clay cost in 2026?
After the March 2026 overhaul, Clay's self-serve plans are Free (100 Data Credits, 500 Actions), Launch at $185/month (2,500 Data Credits, 15,000 Actions), and Growth at $495/month with unlimited credits and actions. Enterprise is custom-quoted.
What is waterfall enrichment?
Waterfall enrichment queries multiple data providers in sequence. If the first provider can't find an email or phone number, Clay automatically tries the next, and the next, until it finds a match. This produces much higher match rates than any single-source database.
What is Claygent?
Claygent is Clay's AI research agent. It scrapes publicly available web data to answer specific questions about a prospect or company — such as funding stage, tech stack, office locations or founder background — and writes the result back into your table.
Is Clay hard to learn?
Yes. Clay is powerful but has a real learning curve — most users need 4 to 6 weeks to master it, and experimenting burns credits. It's best run by a RevOps or growth-engineer profile; without that expertise it can become an expensive tool that sits unused.
Clay vs Apollo — which is better?
Apollo is a cheaper all-in-one database plus outreach platform aimed at reps. Clay is a programmable enrichment engine that orchestrates many providers for higher match rates. Many teams use Apollo for base data and Clay to enrich the records Apollo misses.